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Robust projection matrix optimization from the MSE view for compressive sensing systems

Robust projection matrix optimization from the MSE view for ...

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2013 IEEE International Conference on signal processing, Communications and Computing, ICSPCC 2013

作者： Li, Qiuwei Zhu, Zhihui Li, Gang Chang, Liping Li, Shuang Zhejiang Provincial Key Lab. for Signal Processing College of Information Engineering Zhejiang University of Technology 310023 Hangzhou Zhejiang China

ISBN: (纸本)9781479910274

It's well known that sparse signals can be sensed with a reduced number of projections and then reconstructed if compressive sensing (CS) is employed. We consider the problem of designing the projection matrix Φ for a compressive sensing system in which the dictionary Ψ is assumed to be given. Moreover, we consider the more general case in which the measurements are contaminated by white Gaussian noise. A novel robust algorithm based on regular minimization from the Mean Square Error(MSE) view for optimal projection matrix searching is proposed to solve the corresponding minimization problem. Simulation results reveal that the signal recovery performance of sensing matrix obtained by the proposed algorithm surpasses that achieved by other existing sensing matrix design methods. © 2013 IEEE.

关键词： Mean square error

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Projection matrix optimization for block-sparse compressive sensing

Projection matrix optimization for block-sparse compressive ...

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2013 IEEE International Conference on signal processing, Communications and Computing, ICSPCC 2013

作者： Li, Shuang Zhu, Zhihui Li, Gang Chang, Liping Li, Qiuwei Zhejiang Provincial Key Lab. for Signal Processing College of Information Engineering Zhejiang University of Technology 310023 Hangzhou Zhejiang China

ISBN: (纸本)9781479910274

Traditionally, the projection matrix in compressive sensing (CS) is chosen as a random matrix. In recent years, we have seen that the performance of CS systems can be improved by using a carefully designed projection matrix rather than a random one. In particular, we can reduce the coherence between the columns of the equivalent dictionary thanks to a well-designed projection matrix. Then, we can get a lower reconstruction error and a higher successful reconstruction rate. In some applications, the signals of interest have nonzero entries occurring in clusters - i.e., block-sparse signals. In this paper, we use the equiangular tight frame (ETF) to approach the Gram matrix of equivalent dictionary rather than the identity matrix used in [1]. Then, we minimize a weighted sum of the subblock coherence and the interblock coherence of the equivalent dictionary. The simulation results show that our novel method for projection matrix optimization significantly improves the ability of block-sparse approximation techniques to reconstruct and classify signals than the method proposed by Lihi Zelnik-Manor (LZM) [1]. © 2013 IEEE.

关键词： Compressed sensing

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A scene simulation and collision detection system for 6 DOF motion platform

A scene simulation and collision detection system for 6 DOF ...

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2010 International Conference on Computer Application and System Modeling, ICCASM 2010

作者： Dong, Xiucheng Liang, Fei Wang, Xiaoping Provincial Key Lab. on Signal and Information Processing Xihua University Chengdu 610039 China

ISBN: (纸本)9781424472369

Six Degrees of Freedom (6DOF) motion platform is a very important space motion simulator. Under some circumstances, the operator can not directly operate the test system, so the real-time athletic stance of the motion platform and the mounted model can not be directly observed. By using the powerful function of the visual simulation of Vega Prime, this paper proposed and implemented the method of the scene simulation and collision detection for 6DOF motion platform and the mounted model, effectively solved the inconvenience caused by indirect operation. © 2010 IEEE.

关键词： Virtual reality

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Design of fuzzy neural network controller optimized by GA for ball and plate system

Design of fuzzy neural network controller optimized by GA fo...

引用

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Dong, Xiucheng Zhang, Zhang Tao, Jiagui Provincial Key Lab. on Signal and Information Processing Xihua University Chengdu Sichuan 610039 China

ISBN: (纸本)9780769537351

Ball and plate system is a typical multi-variable plant, which is the extension of the traditional ball and beam problems. GA Fuzzy Neural Network Control (GA-FNNC) scheme is introduced for the stabilization problem at the designed point for the ball and plate system. The simulation result is fine, especially near the stabilization point, which embody the nice characters of the GA-FNNC scheme, such as high accuracy, no oscillation and no overshoot. This control scheme is compared with fuzzy control scheme in the experiment, the result shows that our scheme has better control performance. © 2009 IEEE.

关键词： Stabilization

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Solution to collision detection based on bounding box in Vega Prime

Solution to collision detection based on bounding box in Veg...

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2010 International Conference on Future Information Technology and Management Engineering, FITME 2010

作者： Wang, Xiao-Ping Dong, Xiu-Cheng Wang, Hai-Bin Zheng, Hai-Chun Gu, Shi-Fu Sichuan Provincial Key Lab. on Signal and Information Processing Xihua University Chengdu Sichuan 610039 China

ISBN: (纸本)9781424490882

Collision detection in Vega Prime is based on the simple line segment, and collision detection based on bounding box is not realized. By studying the composition of three-dimensional object, we define a collision detection class, which inherits from vplsector. After finding out all vertices of geometry in object, we connect these vertices one by one and constitute a trend line. The trend line constitutes our bounding box. Now, our collision detection is based on three-dimensional objects, but not the simple line segment. Additionally, we can expand x, y, z in all vertices in proportion and achieve early warning mechanism in virtual reality © 2010 IEEE.

关键词： Virtual reality

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Applying genetic algorithm to on-line updated PID neural network controllers for ball and plate system

Applying genetic algorithm to on-line updated PID neural net...

引用

2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

作者： Dong, Xiucheng Zhang, Zhang Chen, Chao Provincial Key Lab. on Signal and Information Processing Xihua University Sichuan610039 China Naval Academy of Armament Beijing100161 China

ISBN: (纸本)9780769538730

The PID (proportional-integral-derivative) neural network (PIDNN) controller based on genetic algorithm (GA) for ball and plate system is proposed in this paper. Genetic algorithm is applied in training weighting factor of multilayered forward neural network, thus the disadvantage of BP algorithm that easily fall into partial extreme value can be overcome and at the same time, the advantage of PID neural network controller that has simple structure and good dynamic and static performance is provided with. The simulation results show that the proposed controller has the adaptability, strong robustness and satisfactory control performance in the ball and plate system. © 2009 IEEE.

关键词： Genetic algorithms

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Performance of Cu-based catalysts in low-temperature methanol synthesis

Performance of Cu-based catalysts in low-temperature methano...

引用

4th International Conference on Advanced Engineering Materials and Technology, AEMT 2014

作者： Yang, Rui Qin Gai, Xi Kun Xing, Chuang Mao, Jian Wei Lv, Cheng Xue Zhejiang Provincial Key Lab. for Chem. and Bio. Processing Technology of Farm Products School of Biological and Chemical Engineering Zhejiang University of Science and Technology Hangzhou Zhejiang 310023 China

ISBN: (纸本)9783038352068

The reactions of the methanol synthesis were conducted from the CO/CO2/H2 on the Cu-based catalysts using different solvent at 443 K and 3.0 MPa. The alcohol solvent had the activity in the low-temperature methanol synthesis reaction. The activity of the Cu-based catalyst with ZnO as carrier was higher than that of the catalyst with CeO2, Al2O3, or TiO2 as carrier separately in the reaction. The addition of the CeO2 to the Cu/ZnO catalysts improved the copper species dispersion, so that it was easier for the reduction of the Cu/CeO2-ZnO catalyst than that of the Cu/ZnO catalyst according to the TPR analysis. The variation trend of the BET surface area and the copper surface area was consistent with those of the activity for the Cu/ZnO and the Cu/CeO2-ZnO catalysts in the reaction. The activity of the Cu/CeO2-ZnO catalyst was higher than that of the Cu/ZnO catalyst in the reaction. © (2014) Trans Tech Publications, Switzerland.

关键词： Methanol

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A Hessenberg-based input balanced realization for all-pass systems

A Hessenberg-based input balanced realization for all-pass s...

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9th International Conference on Information, Communications and signal processing, ICICS 2013

作者： Hong, Tao Huang, Chaogeng Li, Gang Lim, Yong Ching Zhejiang Key Lab. for Signal Processing College of Information Engineering Zhejiang University of Technology 310023 Hangzhou China School of EEE Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9781479904341

In this paper, a novel Hessenberg-based input balanced realization for all-pass systems is derived. The expression of roundoff noise gain for this structure is obtained. An Nth order system implemented with a coupled all-pass sub-filters proposed in [18], in which each all-pass filter is realized using our proposed structure, yields a roundoff noise gain of N + 1, smaller than that of the classical optimal roundoff noise statespace realizations. A design example is presented to illustrate the behavior of the proposed structure and to compare it with a class of existing input balanced structures and the classical optimal roundoff noise realizations. It is shown that for the all-pass filters, the proposed structure outperforms the others in terms of minimizing roundoff noise as well as implementation efficiency. © 2013 IEEE.

关键词： All-pass filters

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Automatic recognition of noisy Code-39 barcode

Automatic recognition of noisy Code-39 barcode

引用

16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

作者： Fang, Xianyong Wu, Fuli Luo, Bin Zhao, Haifeng Wang, Peng Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University College of Information Engineering Zhejiang University of Technology Electronics Ltd.

ISBN: (纸本)076952754X

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy Code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images. © 2006 IEEE.

关键词： Decoding

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Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization for Block-sparse Compressive Sensing

Simultaneous Sensing Matrix and Sparsifying Dictionary Optim...

引用

IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Shuang Li Qiuwei Li Gang Li Xiongxiong He Liping Chang Zhejiang Provincial Key Lab. for Signal Processing Zhejiang University of Technology Hangzhou Zhejiang P.R. China

In this paper, we propose a new method to optimize the sensing matrix and the overcomplete dictionary simultaneously in a block-sparse system. This method mainly includes two parts: the optimization of the sensing matrix for a given dictionary and the optimization of the overcomplete dictionary with a block structure for a predefined sensing matrix. Simulation results show that our novel method can significantly improve the dictionary recovery ability and lower the representation error compared with other dictionary learning methods in block-sparse systems.

关键词： Dictionaries Sensors Sparse matrices Image reconstruction Optimization Vectors Coherence

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